Message from the Division President
Dear fellow M&D members,
I hope you’re enjoying the Spring and looking forward to an exciting Summer!
We are looking forward to seeing you at IISE 2022 (finally!) in Seattle, WA
In this newsletter, we are highlighting important information about the upcoming conference (May 21-24). We have 80 talks scheduled across 27 sessions in the M&D track. We also have a research spotlight article on “Cyber-Coordinated Analytical Framework for Manufacturing Systems” by Dr. Hongyue Sun from the University at Buffalo. Also, we are spotlighting our track chairs for their service to our M&D Division at IISE 2022.
At IISE 2022, we are also organizing three new sponsored M&D workshop sessions that is free for conference attendees (check out the details in this newsletter). We have two special sessions for the finalists for M&D Best Student Paper and M&D Best Track Paper Awards.
Please accept this as my personal invitation for the annual M&D Town Hall meeting on Sunday, May 22nd (3:30 – 4:50 PM in Room 502 (Cowlitz).
During this Town Hall, we will present a comprehensive report on the M&D annual activities, recognize M&D award winners and accomplishments, and you will have an opportunity to network with colleagues while enjoying hors d'oeuvres and beverages sponsored by our ten university and industry partners.
Along with the entire M&D Division Board, it is my privilege to serve our vibrant M&D community. Please do not hesitate to reach out to me with your ideas or questions. You can email me at gum@psu.edu
Regards,
Guha
Guha Manogharan, Ph.D.
President
IISE M&D Division
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Dr. Abishek Balsamy Kamaraj is an Assistant Professor in the Industrial and Manufacturing Engineering department at Kettering University. He holds a Ph.D. and M.S. in Mechanical Engineering from the University of Cincinnati and a Bachelor’s degree in Mechanical engineering from BITS-Pilani, India.
His research interests include additive manufacturing, Industry 4.0, electrochemical manufacturing, process modeling and simulation, micro-manufacturing, biomedical micro-devices, and engineering education. He has won the 2021 Outstanding Teaching Award, Manufacturing and Design Division, IISE, and 2019 Best Ph.D. Dissertation Award, Mechanical and Materials Engineering, University of Cincinnati.
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Dr. Hannah Budinoff is an Assistant Professor in the Department of Systems and Industrial Engineering at the University of Arizona. Her research focuses on design for manufacturing, including the exploration of new design methods and tools, with a focus on additive manufacturing.
Hannah earned her BS from the University of Arizona and MS and PhD from the University of California, Berkeley in Mechanical Engineering. She was an NSF Graduate Research Fellowship Program recipient and was awarded an Apprentice Faculty Grant from the American Society for Engineering Education Educational Research and Methods division in 2021.
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Dr. Qiang Huang is a Professor of the Daniel J. Epstein Department of Industrial and Systems Engineering at the University of Southern California (USC). His research primarily focuses on engineering-informed modeling and learning for advanced manufacturing such as machine learning for additive manufacturing accuracy control.
Qiang received his PhD degree from University of Michigan Ann Arbor. He received IISE Fellow award, NSF CAREER award, IEEE Transactions on Automation Science and Engineering Best Paper Award, and the IEEE CASE Best Conference Paper Award. He is a Department Editor for IISE Transactions, and an Associate Editor for ASME Transactions, Journal of Manufacturing Science and Engineering.
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We would also like to acknowledge the other M&D track co-chairs, Dr. Brandon Lane (NIST), Dr. Yunbo Zhang (Rochester Institute of Technology), and Dr. Wenmeng Tian (Mississippi State University) who were spotlighted in our recent newsletters. |
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Special Sessions at IISE Annual Conference and Expo |
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Computer Aided Manufacturing Workshop presented by Autodesk (Free)
Seats are limited. Registration Required.
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Sunday, May 22 - 7:45 a.m. - 9:15 a.m.
Monday, May 23 - 1:00 p.m. - 2:30 p.m.
Location: Room 703 (Hoko) (both days)
*Choose either day/time, same workshop on both days.
Participants will interact in an experiential learning environment and will actively participate in the process of computer aided manufacturing (CAM). Through collaborative design, prototype development, and advanced manufacturing attendees will explore using Autodesk’s manufacturing platform: Fusion 360, to solve a real-world problem. This experience will provide students with training from experts to use in their research or in class, and faculty will gain training for how they can use CAD in their courses and research. No previous knowledge of a CAM platform required. After the workshop participants will be able to convey the process of CAM to others and access resources to implement learning modules in their home institutions and apply the concepts to relevant research. Autodesk will share instructional resources available for faculty, students, and professionals to quickly learn and implement content into courses.
Advanced Manufacturing of Flexible Electronics and Nondestructive Testing for Quality Assurance
Saturday, May 21 - 8:00 a.m.
Location: Room 602 (Hooksack)
This research and workforce development driven workshop will focus on emerging advanced manufacturing techniques for flexible electronics and associated quality assurance challenges. Workshop participants will have visits to the state-of-the-art equipment and facility at the University of Washington – Seattle. Training sections will be offered via theoretical instruction, group discussion, and student poster competition formats. The workshop will host up to 30 undergraduate, graduate students and their faculty mentors, with a majority from the minority group, from various universities around the country. Interested participants can sign up here.
How ISE's provide unique value and dramatic impact with 3D Printing/Additive Manufacturing
Sunday, May 22 - 12:30 p.m. - 1:50 p.m.
Location: Room 502 (Cowlitz)
Hear from experts on how industrial engineer’s skills are being applied within Additive Manufacturing. In this session we will hear from additive manufacturing experts in a variety of industries in a panel discussion. They will share their perspective where they see industrial engineering skills being applied today and where they see this emerging technology going in the future.
Best Student Paper Competition
Saturday, May 22 - 8 a.m. - 9:20 a.m.
Location: Room 502 (Cowlitz)
The four top rated M&D student papers will be presented at this session. The four finalists are shown as follows (alphabetically ordered based on the last name of the first author).
- Amar Abbatiello (Keene State College), Co-printing Natural and Synthetic Bio-polymers: Mechanical Properties and Shape Fidelity Aspects
- Maede Maftouni (Virginia Tech), Automatic Melt Pool Segmentation and Tracking in the X-ray Image Sequence
- Imtiaz Qavi (Texas Tech University), Fabrication of Dual-Material Microfiber Bundles by Co-Axial Near-Field Electrospinning
- Jiahui Ye (Texas A&M University),A New Efficient Printability Assessment Framework for Directed Energy Deposition Processes: A Response Surface Method Approach
Best Track Paper Competition
Saturday, May 22 - 11:00 a.m. - 12:20 p.m.
Location: Room 502 (Cowlitz)
The four top rated M&D track papers will be presented at this session. The four finalists are shown as follows (alphabetically ordered based on the last name of the first author).
- Ahmad Elhabashy (Alexandria University) and Hadi Fors, OEE Data Visualization and Analysis – An Industry 4.0 Perspective
- Zheng Liu (University of Illinois at Urbana-Champaign), Anabel Renteria, Zhuoyuan Zheng, Yumeng Li, and Pingfeng Wang, Design of Additively Manufactured Functionally Graded Cellular Structures
- Nidhi Munaganuru (Rochester Institute of Technology), and Denis Cormier, 3D Printed Continuous Fiber Composites With Woven Structures
- Rongxuan Wang (Virginia Tech), David Garcia, Bo Shen, Xiaohan Ma, Rakesh Kamath, Hahn Choo, Kamel Fezzaa, and Zhenyu (James) Kong, In-process Multi-physical Melt Pool Characteristics Sensing and Data Correlation in Laser Powder Bed Fusion
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Manufacturing and Design Townhall Meeting
Sunday, May 22 - 3:30 p.m. - 4:50 p.m.
Room 502 (Cowlitz)
During this Town Hall, we will present a comprehensive report on the M&D annual activities, recognize M&D award winners and accomplishments, and you will have an opportunity to network with colleagues while enjoying hors d'oeuvres and beverages sponsored by our ten university and industry partners.
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M&D Member Research Spotlight
Biography: Dr. Hongyue Sun is an assistant professor at the Department of Industrial and Systems Engineering, University at Buffalo. He received the B.E. degree in mechanical engineering from Beijing Institute of Technology, the M.S. degree in statistics and the Ph.D. degree in industrial engineering from Virginia Tech, respectively. Dr. Hongyue Sun’s research interests are data analytics for advanced manufacturing, healthcare and energy systems (see details in his lab webpage). His research has been recognized by several best paper awards and finalists from INFORMS and IISE. His research has been funded by NSF, NIOSH, and industry. He is a member of IISE, INFORMS, IEEE, and ASME.
Cyber-Coordinated Analytical Framework for Manufacturing Systems
Modern manufacturing systems involve multiple process stages, each possibly with clusters of machines to produce the final products. These stages have strong dynamics and dependencies quality-wise and productivity-wise. To guarantee a seamless production in these systems, it is critical to timely and accurately keep track of the dynamic and heterogeneous information within a stage and across stages, and find the optimal system control solution in reasonable time and constraints. However, in the past, the industrial practices only control operations at local level, thus handicap the global system performance [1-3]. There is a great need of a framework to enable the vertical integration of multi-stage and distributed manufacturing processes, and synchronize and optimize these processes in real-time for future manufacturing evolution. Several research challenges to be solved before achieving this framework are:
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- Massive and heterogeneous machines with similar but different configurations of machine modules, sensor types, etc. need to in real-time share their operation status and to coordinate their quality and production control actions.
- The machines in multiple stages have complex and high dimensional functional dependencies, as a function of measurement time or space.
- The manufacturing environment can be highly dynamic, which challenges a centralized system control approach.
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To address these challenges, we propose a cyber-coordinated analytical framework shown in Fig. 1. Firstly, there is a unique STREAM architecture that joins the force of a bridging middleware to support the interoperation of heterogeneous machines, and software and hardware-based accelerators for reducing time delay in communication and computation. Secondly, there are novel graphical models to address the high-dimensional functional dependencies among stages and identify important variables in the parameter space. Adaptive controllers that adapt from temporal and spatial information to control the product quality are then developed. Finally, novel multi-resolution distributed simulators with dynamics check are built to seamlessly emulate and coordinate the system. These simulators are continuously updated by detecting the switch conditions of the physical system during dynamics check. A hybrid controller that includes both high-level DES control and low-level process control is built to manage system operations.
The full version of the article can be accessed through this link.
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Calls for Entries in the Division's Newsletter
If you are interested in contributing a short article to the Division’s Newsletter, please contact Dr. Wenmeng Tian (tian@ise.msstate.edu). The article can be one of the following:
- Research article
- Student activity article
Please send a brief bio of yours and a headshot image that we can include in the newsletter to highlight your contribution. Thank you in advance for your contribution to the Manufacturing and Design Division!
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